121 search results - page 6 / 25 » Learning Decision Theoretic Utilities through Reinforcement ... |
AUSAI
2005
Springer
15 years 3 months ago
2005
Springer
This paper addresses the problem of scheduling jobs in soft real-time systems, where the utility of completing each job decreases over time. We present a utility-based framework fo...
NIPS
1992
14 years 10 months ago
1992
We present a local learning rule in which Hebbian learning is conditional on an incorrect prediction of a reinforcement signal. We propose a biological interpretation of such a fr...
ATAL
2005
Springer
15 years 3 months ago
2005
Springer
We present an integrated approach for reasoning about and learning conversation patterns in multiagent communication. The approach is based on the assumption that information abou...
IROS
2009
IEEE
15 years 4 months ago
2009
IEEE
— Partially Observable Markov Decision Processes (POMDPs) provide a rich mathematical model to handle realworld sequential decision processes but require a known model to be solv...
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SCIA
2005
Springer
15 years 3 months ago
2005
Springer
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...